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Own-Group Face Recognition Bias: The Effects of Location and Reputation

机译:自己的脸部识别偏差:位置和声誉的影响

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In the present study, we examined whether social categorization based on university affiliation can induce an advantage in recognizing faces. Moreover, we investigated how the reputation or location of the university affected face recognition performance using an oldew paradigm. We assigned five different university labels to the faces: participants’ own university and four other universities. Among the four other university labels, we manipulated the academic reputation and geographical location of these universities relative to the participants’ own university. The results showed that an own-group face recognition bias emerged for faces with own-university labels comparing to those with other-university labels. Furthermore, we found a robust own-group face recognition bias only when the other university was located in a different city far away from participants’ own university. Interestingly, we failed to find the influence of university reputation on own-group face recognition bias. These results suggest that categorizing a face as a member of one’s own university is sufficient to enhance recognition accuracy and the location will play a more important role in the effect of social categorization on face recognition than reputation. The results provide insight into the role of motivational factors underlying the university membership in face perception.
机译:在本研究中,我们研究了基于大学隶属关系的社会分类是否可以在识别面孔方面产生优势。此外,我们使用新旧范例研究了大学的声誉或位置如何影响人脸识别性能。我们为面孔分配了五种不同的大学标签:参与者自己的大学和其他四所大学。在其他四个大学标签中,我们操纵了这些大学相对于参加者所在大学的学术声誉和地理位置。结果表明,与具有其他大学标签的人脸相比,具有大学标签的人脸出现了自组人脸识别偏差。此外,只有当另一所大学位于与参加者所在大学相距遥远的不同城市中时,我们才发现强大的团体脸部识别偏见。有趣的是,我们未能找到大学声誉对个人面部识别偏见的影响。这些结果表明,将面部分类为自己大学的成员足以提高识别的准确性,并且位置在社交分类对面部识别的影响中比声誉更重要。结果提供了洞察力,激励因素在大学会员中的面子知觉中的作用。

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